GSSTech Group—iOS Engineer (AI Integration)

Job description

Description: About the Role We are looking for an experienced iOS Engineer to build and maintain large scale, modular iOS applications using modern Apple technologies, with a strong focus on AI integration. You will design scalable architectures, optimize performance, and deliver high quality experiences across iPhone and iPad, working alongside multiple feature teams. Key Responsibilities - Design and build scalable, modular iOS application architectures that support multiple feature teams working in parallel. - Develop advanced SwiftUI interfaces with a strong focus on responsiveness and accessibility. - Integrate LLM APIs into production iOS applications, including token management, context handling, and resilient error handling. - Implement agentic workflows within the app, including multi agent orchestration and tool use patterns, leveraging MCP (Model Context Protocol) frameworks. - Evaluate LLM trade offs (latency, cost, accuracy, on device vs cloud) and recommend the right approach for each use case. - Implement crash monitoring and observability solutions, and analyze crash trends to drive stability improvements. - Diagnose and resolve memory, performance, and concurrency issues using Xcode Instruments and profiling tools. - Optimize app startup time and overall runtime performance. - Apply modern dependency management and architectural patterns to deliver maintainable, testable code. Required Qualifications - 6+ years of professional iOS development experience with Swift, delivering large scale applications in production. - Hands on experience integrating LLM APIs in production environments. - Working knowledge of MCP (Model Context Protocol) frameworks, agentic workflows, and tool use patterns. - Proven track record of debugging memory leaks with Instruments, analyzing crash trends, and optimizing startup performance. - Strong grasp of modular architecture, dependency management (e.g. Swift Package Manager), and testability. - Proven specialization in at least 2 to 3 of the following: - Swift Concurrency (async/await, Actors, Task Groups) - SwiftUI and Combine - Core Data or SwiftData - Networking with URLSession, gRPC, or Protocol Buffers - Background processing with the BackgroundTasks framework Preferred Qualifications - Experience building iOS apps in banking, fintech, or other regulated environments. - Familiarity with crash and observability tools such as Firebase Crashlytics, Sentry, or Datadog. - Experience with accessibility standards (VoiceOver, Dynamic Type). - Exposure to on device ML (Core ML, Apple Foundation Models). What Success Looks Like - Stable, fast, accessible apps with measurable improvements in crash free rate and startup time. - AI features shipped to production that are reliable, cost efficient, and fail gracefully. - Clean architecture that lets multiple feature teams ship independently.